Evaluating the impacts of screening and smoking cessation programmes on lung cancer in a high-burden region of the USA: a simulation modelling study

BMJ Open. 2016 Feb 29;6(2):e010227. doi: 10.1136/bmjopen-2015-010227.

Abstract

Objective: While the US Preventive Services Task Force has issued recommendations for lung cancer screening, its effectiveness at reducing lung cancer burden may vary at local levels due to regional variations in smoking behaviour. Our objective was to use an existing model to determine the impacts of lung cancer screening alone or in addition to increased smoking cessation in a US region with a relatively high smoking prevalence and lung cancer incidence.

Setting: Computer-based simulation model.

Participants: Simulated population of individuals 55 and older based on smoking prevalence and census data from Northeast Pennsylvania.

Interventions: Hypothetical lung cancer control from 2014 to 2050 through (1) screening with CT, (2) intensified smoking cessation or (3) a combination strategy.

Primary and secondary outcome measures: Primary outcomes were lung cancer mortality rates. Secondary outcomes included number of people eligible for screening and number of radiation-induced lung cancers.

Results: Combining lung cancer screening with increased smoking cessation would yield an estimated 8.1% reduction in cumulative lung cancer mortality by 2050. Our model estimated that the number of screening-eligible individuals would progressively decrease over time, indicating declining benefit of a screening-only programme. Lung cancer screening achieved a greater mortality reduction in earlier years, but was later surpassed by smoking cessation.

Conclusions: Combining smoking cessation programmes with lung cancer screening would provide the most benefit to a population, especially considering the growing proportion of patients ineligible for screening based on current recommendations.

Keywords: lung cancer; screening; simulation modeling; smoking cessation.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Computer Simulation*
  • Female
  • Humans
  • Incidence
  • Lung Neoplasms / diagnosis*
  • Lung Neoplasms / epidemiology*
  • Male
  • Middle Aged
  • Pennsylvania / epidemiology
  • Program Evaluation / statistics & numerical data*
  • Sensitivity and Specificity
  • Smoking / epidemiology*
  • Smoking Cessation / statistics & numerical data*